EXIT Charts for Turbo Automatic Speech Recognition: A Case Study. - Timo Lohrenz; Simon Receveur; Tim Fingscheidt (ITG Symposium on Speech Communication, 2016)

Introducing Block-Wise Processing into Turbo Viterbi ASR. - Simon Receveur; Timo Lohrenz; Tim Fingscheidt (ITG Symposium on Speech Communication, 2016)

Turbo fusion of magnitude and phase information for DNN-based phoneme recognition. - Timo Lohrenz; Tim Fingscheidt (ASRU, 2017)

DNN/CNN Acoustic Model Turbo Fusion for Phoneme Recognition. - Timo Lohrenz; Wei Li 174; Tim Fingscheidt (ITG Symposium on Speech Communication, 2018)

A New Timit Benchmark for Context-Independent Phone Recognition Using Turbo Fusion. - Timo Lohrenz; Wei Li 174; Tim Fingscheidt (SLT, 2018)

Densenet Blstm for Acoustic Modeling in Robust ASR. - Maximilian Strake; Pascal Behr; Timo Lohrenz; Tim Fingscheidt (SLT, 2018)

On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition. - Timo Lohrenz; Maximilian Strake; Tim Fingscheidt (ASRU, 2019)

Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework. - Jan Baumann; Timo Lohrenz; Alexander Roy; Tim Fingscheidt (ICASSP, 2020)

BLSTM-Driven Stream Fusion for Automatic Speech Recognition: Novel Methods and a Multi-Size Window Fusion Example. - Timo Lohrenz; Tim Fingscheidt (INTERSPEECH, 2020)

Multi-Head Fusion Attention for Transformer-Based End-to-End Automatic Speech Recognition. - Timo Lohrenz; Patrick Schwarz; Zhengyang Li; Tim Fingscheidt (ITG Conference on Speech Communication, 2021)

Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. - Timo Lohrenz; Patrick Schwarz; Zhengyang Li; Tim Fingscheidt (ASRU, 2021)

A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width Kernels. - Jan Baumann; Patrick Meyer; Timo Lohrenz; Alexander Roy; Michael Papendieck; Tim Fingscheidt (ICASSP, 2021)

Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. - Timo Lohrenz; Zhengyang Li; Tim Fingscheidt (Interspeech, 2021)

Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention. - Zhengyang Li; Timo Lohrenz; Matthias Dunkelberg; Tim Fingscheidt (SLT, 2022)

Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition. - Zhengyang Li; Thomas Graave; Jing Liu; Timo Lohrenz; Siegfried Kunzmann; Tim Fingscheidt (ASRU, 2023)

Relaxed Attention for Transformer Models. - Timo Lohrenz; Björn Möller; Zhengyang Li; Tim Fingscheidt (IJCNN, 2023)

An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition. - Zhengyang Li; Chenwei Liang; Timo Lohrenz; Marvin Sach; Björn Möller; Tim Fingscheidt (INTERSPEECH, 2023)

Mixed Children/Adult/Childrenized Fine-Tuning for Children's ASR: How to Reduce Age Mismatch and Speaking Style Mismatch. - Thomas Graave; Zhengyang Li; Timo Lohrenz; Tim Fingscheidt (INTERSPEECH, 2024)

Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages. - Zhengyang Li; Patrick Blumenberg; Jing Liu; Thomas Graave; Timo Lohrenz; Siegfried Kunzmann; Tim Fingscheidt (INTERSPEECH, 2024)